IEEE International Conference on Computer Communications
29 April - 2 May 2019 // Paris, France

Workshop on the Communications and Networking Aspects of Online Social Networks - Program

First International INFOCOM Workshop on Communications and Networking Aspects of Online Social Networks

(IEEE CAOS 2019)

Monday, 29 April, 2019 ● 08:00 – 13:00 ● Room: Forum A

Online Social Networks (OSNs) are a multidisciplinary research playground. On the one hand, they represent a challenging environment for researchers working in academia and industry to develop the next generation of networking platforms and their services. At the same time, the digital footprints that people leave behind through OSNs provide a unique source to investigate and understand (by exploiting BigData analytics) people's behavior, human relationships, and societal phenomena such as epidemics spreading, terrorist networks, the diffusion of opinions, the pulse of a city, the evolution of migrations, etc.

IEEE CAOS focuses on (i) understanding the behavior of OSN systems, and OSN users; (ii) designing OSN mechanisms, services and applications for the benefit of users, (iii) controlling the use, and possibly, misuse of OSN services; (iv) predicting the way information spreads in OSN and users acquire or lose importance and influence in their local and global communities. CAOS aims to provide a reference forum targeted not only to the community of researcher working on networking technologies for OSN, but it aims at engaging a multidisciplinary community of researchers working at the intersection between computer networking, complex networks, Big Data analytics.


Steering Committee:

Marco Conti (IIT-CNR, Italy)


Technical Program Chairs:

Chiara Boldrini (IIT-CNR, Italy)

Fabrizio Silvestri (Facebook, UK)



08:00 – 08:10

Opening Session


08:10 – 09:10

Session 1: Social phenomena in OSN      

Distorting Political Communication: The Effect Of Hyperactive Users In Online Social Networks
Orestis Papakyriakopoulos, Simon Hegelich, Morteza Shahrezaye and Juan Carlos Medina Serrano (Technical University of Munich, Germany)
Experimental Study on Detecting the Omen of Flaming Phenomena in Online Social Networks: Theory Testing of the Oscillation Model for Online User Dynamics
Kouichi Nagatani (Tokyo Metropolitan University, Japan); Chisa Takano (Hiroshima City University, Japan); Masaki Aida (Tokyo Metropolitan University, Japan)


09:10 – 10:00

Keynote session

Sensing and Modelling Human Behaviour using Mobile and Social Media Data
Mirco Musolesi (UCL, UK)

In the recent years, the emergence and widespread adoption of new technologies from social media to smartphones are rapidly changing the social sciences, since they allow researchers to access data that allow them to analyse, study and model human behavior at a scale and at a granularity that were unthinkable just a few years ago. These developments can be seen as the emergence of a new data-driven and computational approach to social science research, usually referred to as "computational social science”. In this talk I will discuss the work of my lab in the area of modelling and predicting human behaviour and emotional states from mobile and social media data, covering several systems issues and methodological aspects that are relevant for this community. I will discuss our research directions in the broader area of anticipatory computing, outlining the open challenges and opportunities.

Bio: Mirco Musolesi is a Reader in Data Science at University College London and a Turing Fellow at the Alan Turing Institute, the UK national institute for Data Science and Artificial Intelligence. At UCL he leads the Intelligent Social Systems Lab. He held research and teaching positions at Dartmouth, Cambridge, St Andrews and Birmingham. He is a computer scientist with a strong interest in sensing, modelling, understanding and predicting human behaviour and social dynamics in space and time, at different scales, using the "digital traces" we generate daily in our online and offline lives. He is interested in developing mathematical and computational models as well as implementing real-world systems based on them. This work has applications in a variety of domains, such as intelligent systems design, ubiquitous computing, digital health, security&privacy, and data science for social good. More details about his research profile can be found at:


10:00 – 10:30

Coffee Break


10:30 – 12:00

Session 2: Influence and search in social networks       

A Fast Greedy Algorithm for Finding Minimum Positive Influence Dominating Sets in Social Networks
Jiehui Pan and Tian-Ming Bu (East China Normal University, P.R. China)
Efficient Influence Maximization Under Network Uncertainty
Soheil Eshghi (Yale University, USA); Setareh Maghsudi (Technical University of Berlin, Germany); Valerio Restocchi and Sebastian Stein (University of Southampton, United Kingdom (Great Britain)); Leandros Tassiulas (Yale University, USA
Local View Based Connectivity Search in Online Social Networks
Na Li (Prairie View A&M University, USA); Sajal K. Das (Missouri University of Science and Technology, USA)


12:00 – 13:00

Session 3: Alternative architectures         

The Footprints of a ``Mastodon'': How a Decentralized Architecture Influences Online Social Relationships
Matteo Zignani and Christian Quadri (University of Milano, Italy); Sabrina Gaito (University of Milan, Italy); Hocine Cherifi (France, France); Gian Paolo Rossi (University of Milan, Italy)
An Integrated Approach to Human-in-the-Loop Systems and Online Social Sensing
José Marcelo Silva Lopes Fernandes and Duarte Raposo (University of Coimbra, Portugal); Ngombo Armando (University of Coimbra, Portugal & Escola Superior Politécnica do Uíge, Angola); Soraya Sinche (Escuela Politécnica Nacional, Ecuador & University of Coimbra, Portugal); Jorge Sá Silva (University of Coimbra, Portugal); André Rodrigues (Centre of Informatics and Systems of the University of Coimbra & Polytechnic Institute of Coimbra, ISCAC, Portugal); Vasco Pereira and Fernando Boavida (University of Coimbra, Portugal)


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